Senior Data Scientist, Dayjob

£70-100k

Meaningful equity

SQL

Python

Mid and Senior level

London

AI scheduling for the waste and recycling industry

Be an early applicant

AI scheduling for the waste and recycling industry

1-20 employees

B2BArtificial IntelligenceSustainabilityInternal toolsSaaSAutomation

Be an early applicant

£70-100k

Meaningful equity

SQL

Python

Mid and Senior level

London

1-20 employees

B2BArtificial IntelligenceSustainabilityInternal toolsSaaSAutomation

Company mission

To democratise advanced AI scheduling for the waste industry.

Job

Company

Role

Who you are

Have a degree in mathematics, physics, computer science, data science or similar
4+ years of experience working on optimisation, routing, scheduling, or applied OR problems
Extensive experience in developing Optimisation or machine learning solutions, ideally in a fast-paced company focusing on transportation/logistics
Strong Python and SQL skills, ideally with experience using solvers (e.g. OR-Tools, Gurobi, CPLEX)
The ability to balance theoretical rigour with pragmatic constraints

Desirable

Vehicle routing problems (VRP), especially with time windows, capacities, or traffic
Constraint programming or metaheuristics
Real-time systems or streaming data
Start-up experience preferred

What the job involves

Design and implement the algorithms that will power Dayjob
Work directly with customers to understand real-world constraints and edge cases
Prototype quickly, then productionise in collaboration with the engineering team
Shape our long-term data strategy and technical roadmap
Build internal tools to evaluate performance, trade-offs, and impact

Application process

Intro call with the team (30 mins)
Take home problem-solving task (2 hours)
Technical interview (60 mins)
Final chat with founders (45 mins)

Salary benchmarks

Our take

The UK construction industry generated a massive 67.8M tonnes of waste each year (thats over 60% of the country's total). With 13% of materials wasted before even being used and transport emissions topping 9 tonnes of CO₂e per project, the need for smarter, the need for more efficient waste logistics is urgent. As the sector pushes toward greener, leaner operations, optimising how waste and materials are moved is becoming just as important as what's being built.

Dayjob is tackling this issue head on. With its AI-driven platform it plans daily vehicle routes in seconds, replacing messy spreadsheets with smart, instant decisions that make operations far more efficient

And the results are speaking for themselves, with the company boasting 5.58% more jobs done per hour and a two-month payback. With strong early traction and big-name partnerships on the horizon, Dayjob is on its way to becoming a key scheduling tool for the global waste and logistics world

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Dec 2024

$0.7m

Early VC

Jul 2023

$0.4m

Angel

Total funding: $1.1m

Company benefits

25 days holiday plus your birthday off every year
We are still defining our benefits package and want you to be part of that journey with us

Company HQ

Camden Town, London, UK

Leadership

George Postlethwaite

(CEO)

Mentor at Seedcamp. Previously Head of Sales at Otta and Key Account Lead at Deliveroo.

Fred Fooks

(CTO)

Previously AI & Data Manager at Deloittes, Consultant at Capgemini Invent, Summer Analyst at Montagu Private Equity and Summer Intern at Hambro Perks.

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